
- •Practical Unit Testing with JUnit and Mockito
- •Table of Contents
- •About the Author
- •Acknowledgments
- •Preface
- •Preface - JUnit
- •Part I. Developers' Tests
- •Chapter 1. On Tests and Tools
- •1.1. An Object-Oriented System
- •1.2. Types of Developers' Tests
- •1.2.1. Unit Tests
- •1.2.2. Integration Tests
- •1.2.3. End-to-End Tests
- •1.2.4. Examples
- •1.2.5. Conclusions
- •1.3. Verification and Design
- •1.5. Tools Introduction
- •Chapter 2. Unit Tests
- •2.1. What is a Unit Test?
- •2.2. Interactions in Unit Tests
- •2.2.1. State vs. Interaction Testing
- •2.2.2. Why Worry about Indirect Interactions?
- •Part II. Writing Unit Tests
- •3.2. Class To Test
- •3.3. Your First JUnit Test
- •3.3.1. Test Results
- •3.4. JUnit Assertions
- •3.5. Failing Test
- •3.6. Parameterized Tests
- •3.6.1. The Problem
- •3.6.2. The Solution
- •3.6.3. Conclusions
- •3.7. Checking Expected Exceptions
- •3.8. Test Fixture Setting
- •3.8.1. Test Fixture Examples
- •3.8.2. Test Fixture in Every Test Method
- •3.8.3. JUnit Execution Model
- •3.8.4. Annotations for Test Fixture Creation
- •3.9. Phases of a Unit Test
- •3.10. Conclusions
- •3.11. Exercises
- •3.11.1. JUnit Run
- •3.11.2. String Reverse
- •3.11.3. HashMap
- •3.11.4. Fahrenheits to Celcius with Parameterized Tests
- •3.11.5. Master Your IDE
- •Templates
- •Quick Navigation
- •Chapter 4. Test Driven Development
- •4.1. When to Write Tests?
- •4.1.1. Test Last (AKA Code First) Development
- •4.1.2. Test First Development
- •4.1.3. Always after a Bug is Found
- •4.2. TDD Rhythm
- •4.2.1. RED - Write a Test that Fails
- •How To Choose the Next Test To Write
- •Readable Assertion Message
- •4.2.2. GREEN - Write the Simplest Thing that Works
- •4.2.3. REFACTOR - Improve the Code
- •Refactoring the Tests
- •Adding Javadocs
- •4.2.4. Here We Go Again
- •4.3. Benefits
- •4.4. TDD is Not Only about Unit Tests
- •4.5. Test First Example
- •4.5.1. The Problem
- •4.5.2. RED - Write a Failing Test
- •4.5.3. GREEN - Fix the Code
- •4.5.4. REFACTOR - Even If Only a Little Bit
- •4.5.5. First Cycle Finished
- •‘The Simplest Thing that Works’ Revisited
- •4.5.6. More Test Cases
- •But is It Comparable?
- •Comparison Tests
- •4.6. Conclusions and Comments
- •4.7. How to Start Coding TDD
- •4.8. When not To Use Test-First?
- •4.9. Should I Follow It Blindly?
- •4.9.1. Write Good Assertion Messages from the Beginning
- •4.9.2. If the Test Passes "By Default"
- •4.10. Exercises
- •4.10.1. Password Validator
- •4.10.2. Regex
- •4.10.3. Booking System
- •Chapter 5. Mocks, Stubs, Test Spies
- •5.1. Introducing Mockito
- •5.1.1. Creating Test Doubles
- •5.1.2. Expectations
- •5.1.3. Verification
- •5.1.4. Conclusions
- •5.2. Types of Test Double
- •5.2.1. Code To Be Tested with Test Doubles
- •5.2.2. The Dummy Object
- •5.2.3. Test Stub
- •5.2.4. Test Spy
- •5.2.5. Mock
- •5.3. Putting it All Together
- •5.4. Example: TDD with Test Doubles
- •5.4.2. The Second Test: Send a Message to Multiple Subscribers
- •Refactoring
- •5.4.3. The Third Test: Send Messages to Subscribers Only
- •5.4.4. The Fourth Test: Subscribe More Than Once
- •Mockito: How Many Times?
- •5.4.5. The Fifth Test: Remove a Subscriber
- •5.4.6. TDD and Test Doubles - Conclusions
- •More Test Code than Production Code
- •The Interface is What Really Matters
- •Interactions Can Be Tested
- •Some Test Doubles are More Useful than Others
- •5.5. Always Use Test Doubles… or Maybe Not?
- •5.5.1. No Test Doubles
- •5.5.2. Using Test Doubles
- •No Winner So Far
- •5.5.3. A More Complicated Example
- •5.5.4. Use Test Doubles or Not? - Conclusion
- •5.6. Conclusions (with a Warning)
- •5.7. Exercises
- •5.7.1. User Service Tested
- •5.7.2. Race Results Enhanced
- •5.7.3. Booking System Revisited
- •5.7.4. Read, Read, Read!
- •Part III. Hints and Discussions
- •Chapter 6. Things You Should Know
- •6.1. What Values To Check?
- •6.1.1. Expected Values
- •6.1.2. Boundary Values
- •6.1.3. Strange Values
- •6.1.4. Should You Always Care?
- •6.1.5. Not Only Input Parameters
- •6.2. How to Fail a Test?
- •6.3. How to Ignore a Test?
- •6.4. More about Expected Exceptions
- •6.4.1. The Expected Exception Message
- •6.4.2. Catch-Exception Library
- •6.4.3. Testing Exceptions And Interactions
- •6.4.4. Conclusions
- •6.5. Stubbing Void Methods
- •6.6. Matchers
- •6.6.1. JUnit Support for Matcher Libraries
- •6.6.2. Comparing Matcher with "Standard" Assertions
- •6.6.3. Custom Matchers
- •6.6.4. Advantages of Matchers
- •6.7. Mockito Matchers
- •6.7.1. Hamcrest Matchers Integration
- •6.7.2. Matchers Warning
- •6.8. Rules
- •6.8.1. Using Rules
- •6.8.2. Writing Custom Rules
- •6.9. Unit Testing Asynchronous Code
- •6.9.1. Waiting for the Asynchronous Task to Finish
- •6.9.2. Making Asynchronous Synchronous
- •6.9.3. Conclusions
- •6.10. Testing Thread Safe
- •6.10.1. ID Generator: Requirements
- •6.10.2. ID Generator: First Implementation
- •6.10.3. ID Generator: Second Implementation
- •6.10.4. Conclusions
- •6.11. Time is not on Your Side
- •6.11.1. Test Every Date (Within Reason)
- •6.11.2. Conclusions
- •6.12. Testing Collections
- •6.12.1. The TDD Approach - Step by Step
- •6.12.2. Using External Assertions
- •Unitils
- •Testing Collections Using Matchers
- •6.12.3. Custom Solution
- •6.12.4. Conclusions
- •6.13. Reading Test Data From Files
- •6.13.1. CSV Files
- •6.13.2. Excel Files
- •6.14. Conclusions
- •6.15. Exercises
- •6.15.1. Design Test Cases: State Testing
- •6.15.2. Design Test Cases: Interactions Testing
- •6.15.3. Test Collections
- •6.15.4. Time Testing
- •6.15.5. Redesign of the TimeProvider class
- •6.15.6. Write a Custom Matcher
- •6.15.7. Preserve System Properties During Tests
- •6.15.8. Enhance the RetryTestRule
- •6.15.9. Make an ID Generator Bulletproof
- •Chapter 7. Points of Controversy
- •7.1. Access Modifiers
- •7.2. Random Values in Tests
- •7.2.1. Random Object Properties
- •7.2.2. Generating Multiple Test Cases
- •7.2.3. Conclusions
- •7.3. Is Set-up the Right Thing for You?
- •7.4. How Many Assertions per Test Method?
- •7.4.1. Code Example
- •7.4.2. Pros and Cons
- •7.4.3. Conclusions
- •7.5. Private Methods Testing
- •7.5.1. Verification vs. Design - Revisited
- •7.5.2. Options We Have
- •7.5.3. Private Methods Testing - Techniques
- •Reflection
- •Access Modifiers
- •7.5.4. Conclusions
- •7.6. New Operator
- •7.6.1. PowerMock to the Rescue
- •7.6.2. Redesign and Inject
- •7.6.3. Refactor and Subclass
- •7.6.4. Partial Mocking
- •7.6.5. Conclusions
- •7.7. Capturing Arguments to Collaborators
- •7.8. Conclusions
- •7.9. Exercises
- •7.9.1. Testing Legacy Code
- •Part IV. Listen and Organize
- •Chapter 8. Getting Feedback
- •8.1. IDE Feedback
- •8.1.1. Eclipse Test Reports
- •8.1.2. IntelliJ IDEA Test Reports
- •8.1.3. Conclusion
- •8.2. JUnit Default Reports
- •8.3. Writing Custom Listeners
- •8.4. Readable Assertion Messages
- •8.4.1. Add a Custom Assertion Message
- •8.4.2. Implement the toString() Method
- •8.4.3. Use the Right Assertion Method
- •8.5. Logging in Tests
- •8.6. Debugging Tests
- •8.7. Notifying The Team
- •8.8. Conclusions
- •8.9. Exercises
- •8.9.1. Study Test Output
- •8.9.2. Enhance the Custom Rule
- •8.9.3. Custom Test Listener
- •8.9.4. Debugging Session
- •Chapter 9. Organization Of Tests
- •9.1. Package for Test Classes
- •9.2. Name Your Tests Consistently
- •9.2.1. Test Class Names
- •Splitting Up Long Test Classes
- •Test Class Per Feature
- •9.2.2. Test Method Names
- •9.2.3. Naming of Test-Double Variables
- •9.3. Comments in Tests
- •9.4. BDD: ‘Given’, ‘When’, ‘Then’
- •9.4.1. Testing BDD-Style
- •9.4.2. Mockito BDD-Style
- •9.5. Reducing Boilerplate Code
- •9.5.1. One-Liner Stubs
- •9.5.2. Mockito Annotations
- •9.6. Creating Complex Objects
- •9.6.1. Mummy Knows Best
- •9.6.2. Test Data Builder
- •9.6.3. Conclusions
- •9.7. Conclusions
- •9.8. Exercises
- •9.8.1. Test Fixture Setting
- •9.8.2. Test Data Builder
- •Part V. Make Them Better
- •Chapter 10. Maintainable Tests
- •10.1. Test Behaviour, not Methods
- •10.2. Complexity Leads to Bugs
- •10.3. Follow the Rules or Suffer
- •10.3.1. Real Life is Object-Oriented
- •10.3.2. The Non-Object-Oriented Approach
- •Do We Need Mocks?
- •10.3.3. The Object-Oriented Approach
- •10.3.4. How To Deal with Procedural Code?
- •10.3.5. Conclusions
- •10.4. Rewriting Tests when the Code Changes
- •10.4.1. Avoid Overspecified Tests
- •10.4.2. Are You Really Coding Test-First?
- •10.4.3. Conclusions
- •10.5. Things Too Simple To Break
- •10.6. Conclusions
- •10.7. Exercises
- •10.7.1. A Car is a Sports Car if …
- •10.7.2. Stack Test
- •Chapter 11. Test Quality
- •11.1. An Overview
- •11.2. Static Analysis Tools
- •11.3. Code Coverage
- •11.3.1. Line and Branch Coverage
- •11.3.2. Code Coverage Reports
- •11.3.3. The Devil is in the Details
- •11.3.4. How Much Code Coverage is Good Enough?
- •11.3.5. Conclusion
- •11.4. Mutation Testing
- •11.4.1. How does it Work?
- •11.4.2. Working with PIT
- •11.4.3. Conclusions
- •11.5. Code Reviews
- •11.5.1. A Three-Minute Test Code Review
- •Size Heuristics
- •But do They Run?
- •Check Code Coverage
- •Conclusions
- •11.5.2. Things to Look For
- •Easy to Understand
- •Documented
- •Are All the Important Scenarios Verified?
- •Run Them
- •Date Testing
- •11.5.3. Conclusions
- •11.6. Refactor Your Tests
- •11.6.1. Use Meaningful Names - Everywhere
- •11.6.2. Make It Understandable at a Glance
- •11.6.3. Make Irrelevant Data Clearly Visible
- •11.6.4. Do not Test Many Things at Once
- •11.6.5. Change Order of Methods
- •11.7. Conclusions
- •11.8. Exercises
- •11.8.1. Clean this Mess
- •Appendix A. Automated Tests
- •A.1. Wasting Your Time by not Writing Tests
- •A.1.1. And what about Human Testers?
- •A.1.2. One More Benefit: A Documentation that is Always Up-To-Date
- •A.2. When and Where Should Tests Run?
- •Appendix B. Running Unit Tests
- •B.1. Running Tests with Eclipse
- •B.1.1. Debugging Tests with Eclipse
- •B.2. Running Tests with IntelliJ IDEA
- •B.2.1. Debugging Tests with IntelliJ IDEA
- •B.3. Running Tests with Gradle
- •B.3.1. Using JUnit Listeners with Gradle
- •B.3.2. Adding JARs to Gradle’s Tests Classpath
- •B.4. Running Tests with Maven
- •B.4.1. Using JUnit Listeners and Reporters with Maven
- •B.4.2. Adding JARs to Maven’s Tests Classpath
- •Appendix C. Test Spy vs. Mock
- •C.1. Different Flow - and Who Asserts?
- •C.2. Stop with the First Error
- •C.3. Stubbing
- •C.4. Forgiveness
- •C.5. Different Threads or Containers
- •C.6. Conclusions
- •Appendix D. Where Should I Go Now?
- •Bibliography
- •Glossary
- •Index
- •Thank You!

Chapter 6. Things You Should Know
6.12. Testing Collections
Sometimes the methods of SUTs return collections whose content is the outcome of an SUT’s business logic: of course, this is something to be tested. This section provides some information on testing collections and their content.
6.12.1. The TDD Approach - Step by Step
First of all, a few remarks on testing collection content with TDD. It is advisable to do this step by step. Start with a simple assertion which verifies that a returned collection is not null. Watch the test fail (as a default implementation created by your IDE will probably return null). Make the test pass by returning a new collection. Add another assertion verifying whether or not the returned collection has the expected number of elements. Now start verifying the content.
An example of the resulting test code is shown in Listing 6.41. It contains many assertions, each progressively more restrictive than the previous one.
Listing 6.41. TDD collection content testing
public class UserTest {
@Test
public void shouldReturnUsersPhone() { User user = new User(); user.addPhone("123 456 789");
List<String> phones = user.getPhones();
assertNotNull(phones); assertEquals(1, phones.size());
assertTrue(phones.contains("123 456 789"));
}
}
Always worth checking, as it defends us from a NulPointerException being thrown in consecutive assertions.
Even though this pattern might seem unnatural at first, the benefit is that if anything goes wrong, you can pinpoint bugs with 100% accuracy. But of course, you do not have to be so meticulous - if you feel like moving in larger steps, then by all means do so. You might save a few seconds here, but on the other hand you might lose much more time later. It is for you to decide.
As shown in Listing 6.41, it is possible to test collections’ content using the common assertions of JUnit: e.g. assertEquals(), assertTrue() and assertFalse(). In the event that you should need to compare the content of two collections, JUnit does not offer much support. Fortunately, there are many other libraries that we can use from within JUnit tests which can help us with this task.
6.12.2. Using External Assertions
Sometimes you will need more for collections testing than JUnit can offer. In such cases, you may refer to other frameworks, which can be combined with JUnit tests. Below you will find examples of
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Unitils21, Hamcrest22 and FEST Fluent Assertions23 usage for collections testing. However, please make sure that you read the documentation for each of these projects, as this book does not set out to comprehensively describe all of their features.
The use of matchers libraries (like Hamcrest and FEST) is described in detail in Section 6.6.
For the next few examples let us assume that two sets - setA and setB - are defined in the following way:
Listing 6.42. Sets
Set<String> setA = new LinkedHashSet<String>();
Set<String> setB = new LinkedHashSet<String>();
String s1 = "s1";
String s2 = "s2";
setA.add(s1);
setA.add(s2);
setB.add(s2);
setB.add(s1);
Set setA contains "s1" and "s2" (in this order).
Set setB contains "s2" and "s1" (in this order).
Unitils
The test shown in Listing 6.43 gives an example of testing collections content using Unitils. With Unitils, it is up to the programmer to decide what it means for two collections to be considered "equal".
Listing 6.43. Collection content testing with Unitils
import org.unitils.reflectionassert.ReflectionComparatorMode; import static org.unitils.reflectionassert
.ReflectionAssert.assertReflectionEquals;
public class SetEqualityTest {
// same setA and setB as presented previously
@Test
public void twoSetsAreEqualsIfTheyHaveSameContentAndSameOrder() { assertReflectionEquals(setA, setB);
}
@Test
public void twoSetsAreEqualsIfTheyHaveSameContentAndAnyOrder() { assertReflectionEquals(setA, setB,
ReflectionComparatorMode.LENIENT_ORDER);
}
}
21http://www.unitils.org/
22http://code.google.com/p/hamcrest/
23http://fest.codehaus.org/Fluent+Assertions+Module
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Chapter 6. Things You Should Know
Unitils library classes are imported.
This will fail because assertReflectionEquals() verifies both the content and the order of collections elements by default.
By setting ReflectionComparatorMode to LENIENT_ORDER we can alter the
assertionReflectionEquals() so that it only verifies the content and is indifferent to the ordering of elements.
Unitils offers some other assertions that are helpful for collections testing too. For example, you can use it to verify that elements of a collection have certain values of a specific property. Please refer to Unitils documentation for more information.
In cases of test failure, some very detailed information about the collections subject to comparison will be printed. Below, an exemplary error message is shown. It was caused by a failed test, which asserted the equality of two collections that were not exactly equal.
Listing 6.44. Detailed error message of Unitils assertions
Expected: ["s1", "s2"], actual: ["s2", "s1"]
--- Found following differences ---
[0]: expected: "s1", actual: "s2" [1]: expected: "s2", actual: "s1"
Testing Collections Using Matchers
Matcher libraries offer some interesting features that are helpful for collections testing. As discussed in Section 6.6, they furnish two main benefits:
•very readable code,
•very detailed error messages (in case of test failure).
Both of the above can be observed in the examples given in this section.
FEST Fluent Assertions, which is a part of FEST library, offers many assertions which can simplify collections testing. Listing 6.45 shows some of them. It provides a fluent interface24, which allows for the chaining together of assertions.
24See http://martinfowler.com/bliki/FluentInterface.html
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Chapter 6. Things You Should Know
Listing 6.45. Testing collections with FEST Fluent Assertions
import static org.fest.assertions.Assertions.assertThat; import static org.fest.assertions.MapAssert.entry;
public class FestCollectionTest {
// same setA and setB as presented previously
@Test
public void collectionsUtilityMethods() { assertThat(setA).isNotEmpty()
.hasSize(2).doesNotHaveDuplicates(); assertThat(setA).containsOnly(s1, s2);
}
@Test
public void mapUtilityMethods() { HashMap<String, Integer> map
= new LinkedHashMap<String, Integer>(); map.put("a", 2);
map.put("b", 3);
assertThat(map).isNotNull().isNotEmpty()
.includes(entry("a", 2), entry("b", 3))
.excludes(entry("c", 1));
}
}
A few imports of FEST methods.
As mentioned previously FEST provides a fluent interface, which allows for the chaining together of assertions. In this the case verification of emptiness, size and the absence of duplicates all gets fitted into a single line of code, but the code is still readable.
A specialized method, containsOnly(), verifies that the given collection contains nothing other than the elements specified.
Similarly, in the case of maps specialized assertions allow for a very readable and concise test.
A different set of assertions is provided by the Hamcrest library. Some of these are shown below:
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Chapter 6. Things You Should Know
Listing 6.46. Testing collections with Hamcrest assertions
import static org.hamcrest.MatcherAssert.assertThat;
import static org.hamcrest.collection.IsCollectionContaining.hasItem; import static org.hamcrest.collection.IsCollectionContaining.hasItems; import static org.hamcrest.collection.IsMapContaining.hasEntry; import static org.hamcrest.collection.IsMapContaining.hasKey;
public class HamcrestCollectionTest {
// same setA and setB created as in previous example
@Test
public void collectionsUtilityMethods() { assertThat(setA, hasItem(s1)); assertThat(setA, hasItem(s2)); assertThat(setA, hasItem("xyz")); assertThat(setA, hasItems(s1, s2, "xyz"));
}
@Test
public void mapsUtilityMethods() { assertThat(map, hasEntry("a", (Object) 2)); assertThat(map, hasKey("b"));
}
}
The required Hamcrest classes and methods are imported.
Hamcrest allows us to test whether or not a given collection contains specific values.
In the case of maps, Hamcrest provides assertions for entries (key and value) or keys only.
Both libraries also offer an interesting feature – namely, that of searching objects within collections based on their properties. The example below has been written with FEST Fluent Assertions:
Listing 6.47. Testing collections objects by properties
import static org.fest.assertions.Assertions.assertThat;
public class FestTest {
@Test
public void lookingIntoProperties() { Collection<Book> books = new HashSet<Book>(); books.add(new Book("Homer", "Odyssey")); books.add(new Book("J.R.R. Tolkien", "Hobbit"));
assertThat(books).onProperty("title").contains("Hobbit"); assertThat(books).onProperty("author").contains("J.R.R. Tolkien");
assertThat(books).onProperty("author").contains("J.K. Rownling");
}
}
A constructor of the Book class sets its two fields - author and title. These two assertions will pass.
This one will fail - my books collection does not include any work by "J.K. Rownling".
Both Hamcrest and FEST offer very detailed and readable error messages. For example, when looking for the String "xyz" in a set of two Strings comprising "s1" and "s2", the following message is printed by Hamcrest:
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